GoHighLevel AI Decision Maker Guide

/ CRM, GHL / By

GoHighLevel AI Decision Maker Workflow How-To

This step-by-step guide explains how to configure the AI Decision Maker action in GoHighLevel workflows so you can build smarter automation than you might in tools like ClickUp or other CRMs. You will learn how to route contacts based on AI analysis, control outcomes with options, and manage token usage efficiently.

The instructions below are based on the official documentation for the AI Decision Maker feature and walk you through setup, options, and best practices.

What the GoHighLevel AI Decision Maker Does

The AI Decision Maker action in GoHighLevel lets you use artificial intelligence inside a workflow to make a decision and move a contact down different paths based on AI output.

Instead of building complex condition steps manually, you create an AI prompt and define possible outcomes. The workflow then branches according to the option that best matches the AI result.

This is useful for tasks like:

  • Routing leads by intent or qualification level
  • Deciding whether a contact should receive follow-up emails or a sales call
  • Classifying survey or form responses
  • Directing support tickets to the right team

How the GoHighLevel AI Decision Maker Works

The action takes text input, sends it to the AI model, and maps the AI response to one of your predefined options. Each option becomes a separate path inside your workflow.

Key points:

  • You define options such as “Qualified Lead”, “Not Qualified”, or “Needs Review”.
  • The option list is the only set of valid outcomes that the AI can choose from.
  • The response is used to determine which branch the contact follows.
  • Each run of the action consumes AI tokens from your account.

Adding the AI Decision Maker in GoHighLevel

Follow these steps to add and configure the AI Decision Maker action in a workflow inside GoHighLevel.

Step 1: Open Your Workflow in GoHighLevel

  1. Log in to your GoHighLevel account.
  2. Navigate to the Automation or Workflows area.
  3. Select an existing workflow or create a new workflow where you want to use AI-based branching.

Step 2: Insert the AI Decision Maker Action

  1. In the workflow builder, click the plus icon to add a new action.
  2. From the action list, locate and select AI Decision Maker.
  3. The configuration panel for the AI Decision Maker will open on the right side.

Configuring the GoHighLevel AI Decision Maker

Once you place the action, you need to set the prompt, the context, and the available options the AI can choose.

Step 3: Define the AI Prompt

The prompt tells the AI how to evaluate the data and what it should output.

  • Write a clear instruction, for example: “Classify this lead as Hot, Warm, or Cold based on interest and budget.”
  • Avoid vague language and keep the goal very specific.
  • If you reference custom fields or previous messages, make sure they are available in the workflow data.

Step 4: Set the Decision Options

The options are the only valid answers the AI can return for this action.

  1. In the options area, add each outcome you want the AI to choose from.
  2. Examples:
    • “Hot Lead”
    • “Warm Lead”
    • “Cold Lead”
    • “Needs Manual Review”
  3. Keep option names short, unique, and easy to understand.

The AI Decision Maker will map its interpretation of the input to the closest option you provided. Each of these options appears as a separate outcome node under the action in the workflow.

Step 5: Choose the Input for the AI

You must select what data the AI will analyze.

  • This can be text from a form submission, survey response, conversation, or a field in the contact record.
  • Use the data mapping or merge fields available in GoHighLevel to insert the correct input into the AI prompt or input box.
  • Verify that the input is complete and relevant to the decision you want the AI to make.

Building Branches After the GoHighLevel AI Decision

After configuring the action, you can define what happens for each AI-selected option.

Step 6: Add Actions Under Each AI Outcome

  1. In the workflow view, locate the AI Decision Maker action.
  2. You will see separate paths for each option you created.
  3. Click the plus icon under a specific outcome and add the actions that should run when that option is chosen.

Example branches:

  • Hot Lead: Assign to a sales rep, send a booking link, and create a task.
  • Warm Lead: Add to a nurturing email campaign.
  • Cold Lead: Tag the contact and send a low-frequency follow-up sequence.
  • Needs Manual Review: Notify an internal team member for a personal check.

Managing Token Usage in GoHighLevel AI Decision Maker

Each time the AI Decision Maker runs in GoHighLevel, it consumes AI tokens from your account based on the length of the prompt and the input.

Best practices to manage token usage:

  • Keep prompts concise while still being specific.
  • Avoid including unnecessary conversation history or long data blocks.
  • Test with shorter inputs first to see if results are accurate.
  • Monitor your AI usage limits within your account settings.

Testing and Troubleshooting the GoHighLevel AI Decision Maker

Before enabling the workflow for real contacts, test the AI branches to ensure they behave correctly.

Step 7: Run Test Contacts

  1. Use test contacts or manually enroll a contact into the workflow.
  2. Provide sample inputs that should lead to each of the different options.
  3. Check which path the contact follows after the AI Decision Maker step.

Step 8: Adjust Prompts and Options

If the AI is not selecting the right option consistently:

  • Rewrite the prompt with clearer instructions and criteria.
  • Simplify or rename options to reduce ambiguity.
  • Limit the total number of options if the decision is too complex.

Repeat testing until the AI consistently chooses the correct outcomes for your typical inputs.

Best Practices for Using GoHighLevel AI Decision Maker

  • Use it for decisions that are qualitative or hard to capture with simple field filters.
  • Combine AI branches with standard conditions and tags for better control.
  • Regularly review AI decisions to maintain accuracy and adjust prompts when your processes change.
  • Document each option’s purpose so your team understands the logic behind the workflow.

Further Resources on GoHighLevel AI Features

You can review the original product documentation for the AI Decision Maker action here: GoHighLevel AI Decision Maker help article.

For additional strategy, implementation, and optimization tips around automations and AI inside GoHighLevel, you can also visit Consultevo for expert guidance and services.

By following the steps in this guide and refining your prompts and options over time, you can turn the AI Decision Maker into a powerful routing engine that enhances the flexibility and intelligence of your GoHighLevel workflows.

Need Help With ClickUp?

If you want expert help building, automating, or scaling your GHL , work with ConsultEvo — trusted GoHighLevel Partners.

Scale GoHighLevel

“`